We are seeking a and experienced System Safety Engineer to join our growing team. In this critical role, you will be responsible for ensuring the safety of our humanoid robot systems throughout their entire lifecycle, from initial concept to deployment and operation. You will play a pivotal role in shaping the safety systems for our robots, ensuring that they meet applicable standards of safety and reliability. This position requires a deep understanding of safety-critical systems, robotics, and relevant safety standards.
Responsibilities
Lead the safety lifecycle for the humanoid robot platform from concept through production and deployment Perform qualitative and quantitative system analyses, including performance and reliability, HARA, FMEA, FTA at the system, subsystem, and component levels to satisfy the required Safety Integrity Level of the product Define safety concepts and requirements to support risk reduction measures Define, manage and ensure full traceability of system requirements, aligning with product safety and robot safety standards Ensure that systems and subsystems' designs meet robot safety, functional safety, and product safety requirements Manage safety requirements across the entire robot platform using requirement management tools Work closely with product design, mechanical, electrical, and software engineering teams to embed safety into the core design Ensure compliance with relevant industry standards (e.g., IEC 61508, ISO 13485, ISO 10218) and interface with external regulatory and certification bodies
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor’s degree or higher in Engineering, Computer Science, Robotics, Mechatronics, or a related field A minimum of 7+ years of experience in safety engineering, with experience delivering complex, safety-critical products (e.g., in robotics, autonomous vehicles, aerospace or industrial automation) Experience leading and executing HARA, FMEA, FTA, and reliability analysis for complex electro-mechanical, software-driven systems Demonstrated ability to translate safety standards into clear, concise, and testable system requirements Working knowledge of functional safety standards (e.g., IEC 61508, IEC 62061, ISO 13849 or ISO 26262) Working knowledge of robotics safety standards (e.g., ISO 13482, ISO 10218, and ISO/TS 15066.) Demonstrated ability to use requirements management tools (e.g., Polarion, DOORS, Jama) Knowledge of AI and functional safety standards, including ISO/IEC TS 22440 series or PAS 8800 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Understanding of hardware and software development, including developing safety-critical software in Rust and C++ Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Successfully certified a robotic system to Safety Integrity Level 3 (SIL3) or an autonomous vehicle (AV) to Automotive Safety Integrity Level D (ASIL-D) Experience dealing with the safety implications of machine learning, computer vision, and autonomous decision-making systems